ICT Literacy in Statistics

Compiled by Dr. Lesley Farmer, California State University Long Beach
 

GENERAL/STANDARDS:

• Association of College & Research Libraries. (2008). Guidelines, standards, and frameworks. http://www.ala.org/acrl/standards/
• http://wikis.ala.org/acrl/index.php/Information_Literacy_in_Mathematics 
• Common Core State Standards and state content standards also refer to K-12 ICT competencies (sometimes listed as information literacy, digital literacy, media literacy, or research skills).

MERLOT LINKS:

Key terms: mathematics, statistics, quantitative, data

• Academic Support Services/ Virtual Environments/ Disciplinary Content/Mathematics & Statistics
• Business/ Economics/ Mathematical and Quantitative
• Education/ TeacherEd/ Teaching Methods/ Mathematics
• Mathematics and Statistics
• Sciences and Technology/ Kinesiology/ Measurement and Evaluation
• Sciences and Technology/ Kinesiology/ Research Methods
• Social Sciences/ Psychology/ Statistics and Research Methods
• Academic Support Services/ ICT Literacy
• Academic Support Services/Library and Information Services 

https://www.merlot.org/merlot/Statistics.htm 

 LIBGUIDES:

• http://libguides.library.umkc.edu/math University of Missouri at Kansas City math and statistics facts, research literature and journals, websites, citing and writing, and MAA NumberADay
• http://ucsd.libguides.com/data-statistics UC San Diego statistics, including finding datasets and statistics, frequently used statistics and data, statistical analysis software, text mining, and data APIs
• https://guides.library.cornell.edu/sb.php?subject_id=88240 Cornell University data and statistics including finding and citing data and statistics, and data/statistics resources by subject
• http://libguides.nps.edu/statistics Naval Postgraduate School statistics by topic: region, government and politics, military, business and economics, crime and justice, demographics, disaster and safety, education and health, science and technology, terrorism, transportation, religion
• http://libguides.gatech.edu/finddata Georgia Tech data finding: data versus statistics, databases, aggregators, government and NGO sources, websites, visualization and other data tools, research process
• http://guides.mclibrary.duke.edu/altmetrics Duke University altmetrics for researchers
• http://libguides.library.arizona.edu/PHX/SPSS University of Arizona SPSS guide
• http://libguides.lib.umanitoba.ca/statistics/engineering University of Manitoba engineering statistics and data, including research processes
• http://guides.lib.purdue.edu/statistics Purdue University statistics databases and articles, references, and organizations  

ARTICLES:

• Ben-Zvi, D. (2007). Using wiki to promote collaborative learning in statistics education. Technology Innovations in Statistics Education, 1(1), 1-18. https://escholarship.org/uc/item/6jv107c7
• Bilgin, A. A., Coady, C., Mulligan, J., Geiger, V., Cavanagh, M., Petocz, P., & Date-Huxtable, L. (2015). Opening real science: Statistical literacy for pre-service primary teachers through flexible delivery. Paper presented at International Association for Statistical Education satellite conference, Rio de Janeiro, July. http://iase-web.org/documents/papers/sat2015/IASE2015 Satellite 79_COADY.pdf
• Boussios, S. G. (2016). A Pedagogic Information System (APIS) in a web-based statistics classroom [ProQuest Information & Learning]. In Dissertation Abstracts International Section A: Humanities and Social Sciences (Vol. 77, Issue 5–(E)). 
• Curley, J. F., & Nussbaum, A. (2011, March). The goals and pitfalls of teaching undergraduate statistics. In Farmingdale State College Teaching Of Psychology Conference 2011: Conference Proceedings (p. 84). http://files.eric.ed.gov/fulltext/ED521107.pdf#page=84
• Delaval, M., Michinov, N., Le Bohec, O., & Le Hénaff, B. (2017). How can students’ academic performance in statistics be improved? Testing the influence of social and temporal-self comparison feedback in a web-based training environment. Interactive Learning Environments, 25(1), 35-47.
• Fitzallen, N. (2006). A model of students’ statistical thinking and reasoning about graphs in an ICT environment. Identities, cultures and learning spaces, 203-210. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.544.2481&rep=rep1&type=pdf
• Graham, A. T., Pfannkuch, M., & Thomas, M. O. (2009). Versatile thinking and the learning of statistical concepts. ZDM, 41(5), 681-695. 
• Kakihana, K., Makinodan, T., & Kimura, A. (2013?). Statistical activities for cultivating creativity. ATCM, 18, 270-276. http://www3.tsukuba-g.ac.jp/t/kakihana/kaken/3-1.pdf
• La Nani, K., & Kusumah, Y. S. (2015). The effectiveness of ICT-assisted project-based learning in enhancing students’ statistical communication ability. International Journal of Education and Research, 3 (8), 187-196. http://www.ijern.com/journal/2015/August-2015/16.pdf
• Lai, G., Zhu, Z., Tanner, J., & Williams, D. (2016, March). The effects of video tutorials as a supplement. In Enhancing Students’ Statistics Performance. In Society for Information Technology & Teacher Education International Conference (pp. 1092-1099). Association for the Advancement of Computing in Education (AACE). https://www.researchgate.net/profile/Guolin_Lai/publication/303446354_The_effects_of_video_tutorials_as_a_supplement_in_enhancing_students%27_statistics_performance/links/57435cfe08ae9f741b3a1873/The-effects-of-video-tutorials-as-a-supplement-in-enhancing-students-statistics-performance
• Metz, M. L. (2010). Using GAISE and NCTM standards as frameworks for teaching probability and statistics to pre-service elementary and middle school mathematics teachers. Journal of Statistics Education, 18(3), 1-27. http://www.amstat.org/publications/jse/v18n3/metz.pdf
• Morales, A. F. (2017). Enriching the statistics learning experience with D3. js interactive animations: Insurance applications of Markov chains. International Journal of Educational Research and Innovation (7), 25-37.
• Ridgway, J., Nicholson, J., & McCusker, S. (2013). 'Open data' and the semantic web require a rethink on statistics teaching. Technology Innovations in Statistics Education, 7(2). https://escholarship.org/uc/item/6gm8p12m
• Ridgway, J., Nicholson, J., & McCusker, S. (2011). Developing statistical literacy in students and teachers. In Teaching Statistics in School Mathematics-Challenges for Teaching and Teacher Education (pp. 311-322). Rotterdam, Netherlands: Springer. 
• Rock, A. J., Coventry, W. L., Morgan, M. I., & Loi, N. M. (2016). Teaching research methods and statistics in elearning environments: Pedagogy, practical examples, and possible futures. Frontiers in Psychology, 7, 339. https://www.frontiersin.org/articles/10.3389/fpsyg.2016.00339/full
• Sanchez, J. (2010). The Millennium goals, National Statistical Offices, the International Statistical Literacy Project and Statistical Literacy in schools. Department of Statistics, UCLA. http://escholarship.org/uc/item/7x88n1nq
• Song, Y., & Kong, S.-C. (2017). Investigating students’ acceptance of a statistics learning platform using technology acceptance model. Journal of Educational Computing Research, 55(6), 865–897. https://doi-org.csulb.idm.oclc.org/10.1177/0735633116688320
• Zheng, A., & Zhou, Y. (2011). An inductive, interactive and adaptive hybrid problem-based learning methodology: Application to statistics. Journal of Engineering Science and Technology, 6(5), 639-650. http://jestec.taylors.edu.my/Vol 6 Issue 5 October 11/Vol_6_5_639_650_YAN ZHOU.pdf
• Zwartjes, L., Donert, K., & Klonari, A. (2014). The introduction of use of statistics in education (i-use): The case of use of statistics in the geography curriculum. In R. Vogler, A. Car, J. Strobl, & G. Griesebner, eds., GI Forum 2014. Geospatial Innovation for Society (pp. 242-253). Berlin: Vergal GMBH. http://gispoint.de/fileadmin/user_upload/paper_gis_open/537545047.pdf

LEARNING ACTIVITIES IDEA STARTERS:

• Ask students to survey classmates about a topic of interest, and apply statistics to analyze data. 
• Ask students to create a timeline of statistical science. 
• Ask students to research the statistical aspects of another discipline such as psychology. 
• Ask students to show various ways to visually present statistics about a topic.
•  Ask students to research how international organizations such as UNESCO or NATO use statistics. 
• Ask students to research how statistics impacts police work. 
• Ask students to research how statistics is used in geopolitics such as climate change. 
• Ask students to research intellectual property law (both copyright and patents/trademarks) as it applies to statistics. Ask students to interview personnel in different jobs that use statistics. 
• Ask students to research the same statistical topic in two database aggregators (e.g., ABI/INFORM, Art Full Text), and compare the process and results. 
• Ask students to analyze the impact of statistics on business (e.g., accounting, marketing, manufacturing, human resources). 
• Ask students to research how data privacy and data security impact data collection and statistical analysis. 
• Ask students to research the impact of technology on statistics. 
• Ask students to research how sports uses statistics (e.g., Moneyball). 
• Ask students to research the impact of statistics on technology. 
• Ask students to create a statistics-based infographic. 
• Ask students to create a graphic novel about a problem solved using statistics. 
• Ask students to locate examples of misleading use of statistics. 
• Ask students to create a flowchart showing how governments collect, analyze, present and act on data. 
• Ask students to analyze statistics found in sports and other sections of newspapers.